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Guide

How to review AI-generated code

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AI coding agents can build a working app fast, but the code they write can still be wrong, incomplete, or insecure. This guide walks through a practical way to review it before you rely on it.

Why review at all

When an app runs and the preview looks right, it is tempting to move on. A passing look is not the same as correct code. AI can produce output that works for the happy path and fails on everything else, or that quietly does something unsafe.

Reviewing is how you catch the gap between looks fine and is fine. It also helps you understand your own app, which pays off every time you need to change it.

Read the code, section by section

Start by reading, not just running. You do not need to grasp every line at once, but you should be able to follow the shape of what was built.

If a section is confusing, that is a signal to slow down, not to skip ahead.

Test the parts that matter

Reading finds some problems, testing finds others. Try the app the way a careful or careless user would.

Write down what should happen for each case, then check whether it does. Surprises here are exactly what you want to find before your users do.

Check security and access

Security bugs are easy to miss because the app still looks like it works. Give these extra attention.

If an app handles accounts, payments, or personal data, treat this section as required rather than optional.

Work in small, reviewable steps

The easiest code to review is a small change you asked for on purpose. Big all-at-once builds are harder to check and harder to trust.

This rhythm keeps review manageable and keeps problems small.

Know when to get help

Some code deserves a second set of eyes. If a feature carries real risk and you are not sure it is right, that is a good moment to ask a developer to review it.

Using an AI agent does not remove the need for judgment. It shifts your job toward reading, testing, and deciding what is safe to ship, which is where your attention adds the most value.

Frequently asked questions

Do I really need to review AI-generated code?
Yes. AI can produce code that runs but is wrong or insecure. Reviewing and testing is how you find the gap between looks fine and is actually correct.
I am not a developer. Can I still review it?
Yes, in part. You can test behavior, check obvious cases, and ask the agent to explain sections. For high-risk features, ask a developer to help.
What should I focus on first?
Start with anything that handles login, permissions, payments, or personal data, since mistakes there cause the most harm.
How can the AI itself help me review?
You can ask it to explain code, list edge cases, or point out risks. Treat its answers as a starting point, not a guarantee, and still test.
Does building in small steps help?
Yes. Small, focused changes are far easier to read, test, and trust than one large build, and problems stay easier to isolate.

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